Local and Global Fusion Network For Learned Image Compression. - Gai Zhang; Xinfeng Zhang 001; Shuyuan Zhu (ICIP, 2022)

Scene Matters: Model-based Deep Video Compression. - Lv Tang; Xinfeng Zhang 001; Gai Zhang; Xiaoqi Ma (ICCV, 2023)

Enhanced Quantified Local Implicit Neural Representation for Image Compression. - Gai Zhang; Xinfeng Zhang 001; Lv Tang (IEEE Signal Process. Lett., 2023)

VQNeRV: Vector Quantization Neural Representation for Video Compression. - Gai Zhang; Lv Tang; Xinfeng Zhang 001 (ISCAS, 2024)

Releasing the Parameter Latency of Neural Representation for High-Efficiency Video Compression. - Gai Zhang; Xinfeng Zhang; Lv Tang; Yue Li; Kai Zhang; Li Zhang (CoRR, 2024)

Pose-Driven Compression for Dynamic 3D Human via Human Prior Models. - Ruoke Yan; Qian Yin 002; Xinfeng Zhang 001; Qi Zhang 042; Gai Zhang; Siwei Ma (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Unified and Scalable Deep Image Compression Framework for Human and Machine. - Gai Zhang; Xinfeng Zhang 001; Lv Tang (ACM Trans. Multim. Comput. Commun. Appl., 2024)

UAR-NVC: A Unified AutoRegressive Framework for Memory-Efficient Neural Video Compression. - Jia Wang; Xinfeng Zhang; Gai Zhang; Jun Zhu; Lv Tang; Li Zhang (CoRR, 2025)